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An Efficient Algorithm for High Average-Efficiency Itemset Mining over Data Streams
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DOI：10.1016/j.eswa.2025.130390.png)
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Abstract
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• The first high average-efficiency itemset mining algorithm applied to data streams • A TWAE-List structure is proposed to improve window update and mining efficiency • Two tighter average-efficiency upper bounds are introduced to reduce candidates • The ETP strategy is designed to accelerate sliding window update processes • Experiments show significant improvements in runtime efficiency and scalability
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